Update app.py

app.py

@@ -24,7 +24,7 @@ class OllamaClient:
             print(f"Error listing models: {e}")
             return []
     
-    def chat_completion(self, messages, max_tokens=4000, stream=True, temperature=0.3, top_p=0.9):
+    def chat_completion(self, messages, max_tokens=4000, stream=True, temperature=0.3, top_p=0.7):
         # Convert messages to Ollama format
         ollama_messages = []
         for msg in messages:
@@ -343,9 +343,9 @@ with gr.Blocks(theme="gstaff/xkcd",
                title="Offline Sensitive Survey Data Analysis") as demo:
     gr.HTML(
         """
-        <div style="text-align: center; max-width: 800px; margin: 0 auto;">
+        <div style="text-align: center; max-width: 1000px; margin: 0 auto;">
             <h1 style="font-size: 3em; font-weight: 600; margin: 0.5em;">Offline Sensitive Survey Data Analysis</h1>
-            <h3 style="font-size: 1.2em; margin: 1em;">Leveraging Ollama Inference Server</h3>
+            <h3 style="font-size: 1.2em; margin: 1em;">Leveraging your Local Ollama Inference Server</h3>
         </div>
         """
     )
@@ -366,9 +366,9 @@ with gr.Blocks(theme="gstaff/xkcd",
                 placeholder="Ask me anything about the uploaded data file... ",
                 container=False
             )
-            with gr.Row():
-                clear = gr.ClearButton([msg, chatbot])
+            with gr.Row():                
                 send = gr.Button("Send")
+                clear = gr.ClearButton([msg, chatbot])
         
         with gr.Column(scale=1):
             gr.Markdown("### Upload File \nSupport: CSV, Parquet files, Text")
@@ -384,13 +384,13 @@ with gr.Blocks(theme="gstaff/xkcd",
                     choices=[],
                     interactive=True
                 )
-                refresh_models = gr.Button("Refresh List of Models")
+                refresh_models = gr.Button("Select Model")
                 
             with gr.Accordion("Advanced Settings ⚙️", open=False):
                 system_message = gr.Textbox(label="Override System Message 📝", value="")
-                max_tokens = gr.Slider(minimum=1, maximum=8000, value=4000, label="Max Tokens 📊")
-                temperature = gr.Slider(minimum=0, maximum=1, value=0.3, label="Temperature 🌡️")
-                top_p = gr.Slider(minimum=0, maximum=1, value=0.9, label="Top P 📈")
+                max_tokens = gr.Slider(minimum=1, maximum=8000, value=4000, label="Max Tokens (maximum number of words for generated response)")
+                temperature = gr.Slider(minimum=0, maximum=1, value=0.3, label="Temperature (higher = more creative)")
+                top_p = gr.Slider(minimum=0, maximum=1, value=0.7, label="Top P (word choices by probability threshold)")
 
     # Function to load available models
     def load_models():